AI Medical Compendium

Foundation models in healthcare: a comprehensive review from technical advances to clinical translation.

Journal of translational medicine May 11, 2026

BACKGROUND: As artificial intelligence (AI) has evolved through a series of discrete leaps, the Foundation model (FM) has demonstrated substantial potential for applications in the medical domain. Built on scalability, multimodal processing, and adap... read more

Machine learning classifiers for automatic classification of foot strike patterns from 2D video.

Sports biomechanics May 11, 2026

Automatic classification of forefoot (FFS), midfoot (MFS), or rearfoot (RFS) strike patterns from video data remains challenging. This study aimed to explore the ability of machine learning classifiers to determine foot strike patterns of runners and... read more

SPECTRAL: An Intelligent and Ultra-Sensitive Photonic Hydrogel Platform for Biomarker-Based Cancer Prediction.

Angewandte Chemie (International ed. in English) May 11, 2026

Point-of-care (POC) biosensing holds great promise for noninvasive cancer diagnostics, as circulating tumor DNA (ctDNA) serves as a minimally invasive biomarker for early detection. However, effective ctDNA detection remains challenging due to low ab... read more

Endophyte-induced systemic spatial reprogramming of metabolism in Populus trichocarpa roots under drought.

The New phytologist May 11, 2026

Beneficial, facultative endophytes help plants thrive in challenging environments by altering their host's metabolism, but how these cellular scale metabolic changes propagate to the systems biology scale is unknown. In this work, we employed a high-... read more

Machine Learning Prediction for 6-Month Outcomes in Traumatic Cerebral Venous Sinus Thrombosis.

Journal of neurotrauma May 11, 2026

This study developed and externally validated a multicenter machine learning framework to predict 6-month poor functional outcome (modified Rankin Scale score ≥2) in patients with traumatic cerebral venous sinus thrombosis (tCVST) complicating modera... read more

Current advances and applications of artificial intelligence for smart municipal solid waste management: A review.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA May 11, 2026

Globally, the rapid increase in industrialisation and urbanisation has led to exponential increase in municipal solid waste (MSW) generation rate, resulting in long-term environmental implications and hazardous. Artificial intelligence (AI) has emerg... read more

Transforming hypoglycemia prediction in adult type 1 diabetes: a systematic review and meta-analysis for precision care.

Open life sciences May 11, 2026

Type 1 diabetes mellitus (T1DM) patients require lifelong insulin therapy; however, iatrogenic hypoglycemia remains a major clinical challenge, with high incidence in adults. This study evaluated the performance, methodological rigor, and clinical ut... read more

Cardiovascular Risk Stratification in Youth-Onset Type 2 Diabetes Using Machine Learning.

Journal of Korean medical science May 11, 2026

BACKGROUND: The rising incidence of youth-onset type 2 diabetes mellitus (T2DM), along with the risk of early cardiovascular complications, is concerning. Brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (cIMT) are noninv... read more

Reader comment regarding machine learning models to detect opioid misuse in emergency department patients at triage.

The American journal of emergency medicine May 11, 2026

Gliomas as network diseases: Neuron-tumor interactions, connectome disruption, and clinical implications.

Clinical neurology and neurosurgery May 11, 2026

BACKGROUND: Gliomas are increasingly understood as disorders of distributed brain networks rather than focal lesions confined within radiographic margins. Emerging evidence suggests that glioma cells interact with neural circuits, alter structural an... read more

Artificial Intelligence Medical Compendium